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0:55ENGenerating Short AI Videos with Claude and HiggsfieldMatthew Berman · Forward FutureMatthew Berman demonstrates a prompt for whimsical videos and describes connecting Higgsfield to Claude.
0:27ENGenie 3 and the Prospect of Promptable GamesMatthew Berman · Forward FutureMatthew Berman discusses interactive worlds generated from prompts and speculates about their future in video games.
11:31ENExploring Google’s Project Genie: Interactive Worlds with Genie 3AlexAlex tests generated racetracks, alien structures and cloud landscapes, showing both the prototype’s creative options and its control limitations.
1:58ENGPT-5.2 at Launch: Benchmark Results, Demos and API PricingMatthew Berman · Forward FutureMatthew Berman reviews OpenAI’s December 2025 announcement, highlighting selected evaluations, product demos and the cost increase over GPT-5.1.
10:50ENSora 2: Generated Video, Sound and Cameos in an Early DemonstrationMatthew Berman · Forward FutureMatthew Berman reviews launch examples and tries the early web and mobile experience, noting both visual realism and artifacts.
9:10ENGuiding AI Image Generation with Blender and ComfyUIMatthew Berman · Forward FutureMatthew Berman walks through NVIDIA’s RTX blueprint for turning a simple Blender scene and a text prompt into a generated image, from installation to editing the result.
13:31ENGoogle Veo 2: Cinematic Controls, Realistic Scenes and Motion LimitsMatthew Berman · Forward FutureMatthew Berman reviews Google’s 2024 video-generation examples, compares selected outputs with Sora and points out where movement or prompt adherence breaks down.
14:23ENSora’s Initial Release: Storyboards, Remix and a Launch-Day TestMatthew Berman · Forward FutureMatthew Berman explores the 2024 video generator’s editing tools and reports mixed results from his first attempts.
11:14ENPixtral 12B: Testing a 2024 Vision-Language ModelMatthew Berman · Forward FutureMatthew Berman runs informal image, text and interface-generation tests of Mistral’s Pixtral on a sponsor-provided cloud GPU.
0:48ENTesting Grok 2's Image Generation With Public-Figure PromptsMatthew Berman · Forward FutureMatthew Berman reviews fictional images and tries two prompts in a brief 2024 demonstration.
12:17ENTesting Gemini 1.5 Pro on Code, Reasoning, Images and VideoMatthew Berman · Forward FutureMatthew Berman compares standard and experimental Gemini versions in an informal 2024 review, finding mixed results and repeated output errors.
14:25ENTesting Phi-3 Vision, LLaVA-Llama 3 and GPT-4o on ImagesMatthew Berman · Forward FutureMatthew Berman compares three 2024 vision setups on image descriptions, screenshots, a meme and table extraction, with mixed results.
13:37ENTesting Gemini 1.5 Pro’s Long Context and Video UnderstandingMatthew Berman · Forward FutureMatthew Berman’s 2024 tests show useful image and video summaries alongside blocked code and missed details.
14:12ENMatthew Berman Reviews Sora’s Early Filmmaker ExperimentsMatthew Berman · Forward FutureA look at early Sora-generated films, surreal creatures and the questions they raise about creative work, compute and video simulation.
6:57ENA Camera Narrator Using GPT-4 Vision and ElevenLabsMatthew Berman · Forward FutureMatthew Berman demonstrates a 2023 project that turns webcam frames into spoken nature-documentary-style narration.
8:09ENText-to-Video in 2023: Runway, Colab and a Local Zeroscope SetupMatthew Berman · Forward FutureMatthew Berman compares a hosted Runway Gen-2 demo with a Zeroscope notebook and a Windows GPU installation, showing the short-clip limitations he encountered.
8:02ENMeta’s Segment Anything: Promptable Image Masks and the SA-1B DatasetMatthew Berman · Forward FutureIn April 2023, Matthew Berman reviews Meta’s Segment Anything project and demonstrates selecting image regions with clicks, boxes and automatic mask generation. The model segments pixels; it does not by itself name every object or guarantee accurate results on every image.
9:59ENIs Language or Vision Harder? Ilya Sutskever on the Unity of Machine LearningPresenta: Lex FridmanIn a short clip from his 2020 conversation with Lex Fridman, Ilya Sutskever explains why vision, language and reinforcement learning share the same few principles, and why asking which problem is harder is the wrong question.
11:29ENWhy Tesla AI Day Was the Most Impressive Real-World AI Effort Lex Fridman Has SeenPresenta: Lex FridmanLex Fridman walks through the neural network, data annotation, Dojo and Tesla Bot announcements and what they say about solving real-world robotics.









